AI VISIBILITY AUDIT — HOME CARE PROVIDERS
By the numbers
40%
Care England, 2026
51%
Of families used directories to find care
Care England, 2026
87%
Higher conversion rate for AI-referred visitors vs Google organic search
Families are not Googling anymore. They are asking AI who to trust with someone they love.
When a family needs dementia care in Hampstead, live-in support in Richmond, or elderly care in Chelsea, they no longer open Google and compare ten websites. They ask ChatGPT. They ask Perplexity. They get one answer and they trust it.
This is not an SEO problem. Most SEO and GEO tools only address the technical layer: schema, crawlability, metadata. Xyra Foundry goes further, auditing the UX layer and the content strategy layer that most providers overlook entirely. These are the layers where families make their decision.
The providers that appear in that answer are not always the most experienced or the most established. They are the ones whose websites are structured in a way AI can read, extract, and recommend with confidence. If your content architecture is not built for retrieval, you do not get recommended. And in home care, being excluded at the shortlist stage means losing a client relationship that could last years.
What we found scanning home care providers across London and the Home Counties
We ran structured AI visibility checks on over 500 home care providers across London and surrounding Home Counties, testing how each appeared across five prompt types on ChatGPT, Perplexity and Google AI Overviews.
60%
Low Visibility
Not appearing reliably in AI search. Invisible across most or all prompt types when families search for care in their area.
29%
Medium Visibility
Showing up inconsistently. Visible for some searches, absent for others. Competing providers taking the enquiry instead.
Scans conducted across home care providers in London and Home Counties (Surrey, Hertfordshire, Kent, Essex). Prompt types tested: unbranded care search, decision query, comparison query, specific care type query, branded query. CQC Good and Outstanding rated providers only.
What we see across home care providers
These are the patterns we see most often. None of them require a website rebuild.
All of them have a fix.
1
Your CQC rating is not readable by AI
Families making care decisions treat a CQC Good or Outstanding rating as a minimum threshold. But across our scans, CQC ratings were one of the most consistently missed signals, even when providers had the badge on their site. Some ratings were buried inside body paragraphs rather than structured as a named credential. Others had the CQC badge as an image AI cannot read. Several providers only surfaced their rating after multiple re-prompts targeting the CQC website directly. A credential that families rely on to shortlist you is, in most cases, invisible to the AI doing the shortlisting.
2
Your care specialisms are not structured for how families search
Families rarely search for a home care provider. They search for dementia care, live-in care, post-hospital support, or elderly companionship. Providers whose content addresses specific care needs rather than generic service descriptions capture significantly more of this traffic. Most provider websites are written for regulators, not for retrieval.
3
Your local signals are too weak for AI to place you
AI systems need to confidently match a provider to a location before recommending them. If your postcode coverage, service areas, and local authority connections are not clearly stated and consistently structured across your site, AI defaults to a national chain or a directory listing instead of you.
4
Your highest-intent visitors arrive to the wrong page
AI-referred visitors convert at 14.2% vs 2.8% from Google. But only when the page they land on matches the intent they arrived with. Families who have already done their research via AI arrive ready to make contact. Most provider websites are not built for this moment: no clear next step, no trust signals above the fold, no pathway designed for someone who already knows what they need.
What Makes Xyra Different
Most audits cover one layer. Xyra covers three.
SEO and GEO tools tell you whether your schema is correct. They do not tell you whether your content structure, your UX, or your decision journey is built for the patient who just arrived from an AI recommendation.
Three ways to work with us
Start where you need to. Most clinics begin with Diagnose to understand where they stand, then move to Fix once priorities are clear.
All engagements start from £699.
Tier 1 - Diagnose
AI visibility score across 30 items. Top issues identified and ranked. Clear view of where you stand vs competitors. Delivered as a structured report.
Tier 2 - Understand
Full annotated audit across all four pillars. Specific UX and content recommendations. Conversion friction analysis. Prioritised by revenue impact.
Tier 3 - Fix
Everything in Understand. 90-day prioritised roadmap. Backlog ready for your team to action. Optional implementation support.
Exact scope and tier confirmed at point of enquiry.
Find out where your organisation stands
A free 20-minute discovery call is enough to tell you whether there is a visibility gap worth fixing and what the revenue impact is likely to be. In home care, a single long-term client relationship has a lifetime value that makes this conversation worth having.
Frequently asked questions
1
Why is my home care agency not appearing when families search for care options on ChatGPT?
The most common reason is that your content is not structured in a way AI can use to answer the questions families ask during their research. When someone types "best home care agency for elderly parents in [area]" or "live-in care options near me" into ChatGPT, AI looks for providers whose websites clearly address specific care needs, demonstrate credibility and regulatory compliance, and are supported by external signals such as reviews and directory listings. If those elements are absent or poorly structured, your agency does not make the shortlist.
2
How do families who find a home care provider through AI differ from those who find one through Google?
AI-referred families arrive mid-funnel. They have already decided they need home care. They are evaluating which provider to trust with a high-stakes, long-term decision — which means they are in confirmation mode, not discovery mode. They want the page they land on to reassure them immediately, not require them to start from scratch. They also convert at a significantly higher rate than families arriving through Google. Getting on the AI shortlist is not just a visibility win; it is a pipeline win.
3
How do I get my home care agency recommended by AI when families are building their shortlist?
Three things need to work together. Your content must directly address the specific concerns families have at each stage — care types, eligibility, what to expect, how to start. Your agency's credentials, compliance status and care quality signals must be readable and verifiable by AI across your own site and third-party sources such as CQC, review platforms and local directories. And when a family arrives from an AI recommendation, the page they land on must confirm what AI told them, not make them work to find basic reassurance. An AI Readiness UX Audit identifies where the gaps are and what to prioritise first.